Free Book - Agentic Design Patterns
A Hands-On Guide to Building Intelligent Systems, By Antonio Gulli
Welcome to Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems By Antonio Gulli— a definitive exploration into how the next generation of AI systems think, act, and collaborate. In these pages, Antonio Gulli demystifies the blueprint of modern intelligence — revealing the practical design patterns, coding architectures, and reasoning mechanisms that transform static models into adaptive, self-improving agents. From prompt chaining to multi-agent orchestration, from memory management to goal-driven reasoning, readers gain not just theoretical insight but executable, production-grade fluency in agentic system design.
This is more than a book — it’s quite literally a masterclass in building autonomous intelligence, offering a rare fusion of computer science rigor, engineering precision, and forward-looking strategy.
Whether you’re an AI researcher, developer, or strategist shaping the future of automation, what lies ahead is a direct path to mastering how intelligent systems actually work — and how to build them.
Agentic Design Patterns
A Hands-On Guide to Building Intelligent Systems, Antonio Gulli
Table of Contents - total 424 pages = 1+2+1+1+4+9+103+61+34+114+74+5+4 11
Dedication, 1 page
Acknowledgment, 2 pages [final, last read done]
Foreword, 1 page [final, last read done]
A Thought Leader’s Perspective: Power and Responsibility [final, last read done]
Introduction, 4 pages [final, last read done]
What makes an AI system an “agent”?, 9 pages [final, last read done]
Part One, (Total: 103 pages)
Chapter 1: Prompt Chaining (code), 12 pages [final, last read done, code ok]
Chapter 2: Routing (code), 13 pages [fina, last read done, code ok]
Chapter 3: Parallelization (code), 15 pages [final, last read done, code okl]
Chapter 4: Reflection (code), 13 pages [final, last read done, code okl]
Chapter 5: Tool Use (code), 20 pages [final, last read done, code ok]
Chapter 6: Planning (code), 13 pages [final, last read done, code ok]
Chapter 7: Multi-Agent (code), 17 pages [final, last read done, code ok], 121
Part Two (Total: 61 pages)
Chapter 8: Memory Management (code), 21 pages [final, last read done, code ok]
Chapter 9: Learning and Adaptation (code), 12 pages [final, last read done, code ok]
Chapter 10: Model Context Protocol (MCP) (code), 16 pages [final, last read done, code ok]
Chapter 11: Goal Setting and Monitoring (code), 12 pages [final, last read don, code oe], 182
Part Three (Total: 34 pages)
Chapter 12: Exception Handling and Recovery (code), 8 pages [final, last read done, code ok]
Chapter 13: Human-in-the-Loop (code), 9 pages [final, last read done, code ok]
Chapter 14: Knowledge Retrieval (RAG) (code), 17 pages [final, last read done, code ok], 216
Part Four (Total: 114 pages)
Chapter 15: Inter-Agent Communication (A2A) (code), 15 pages [final, last read done, code ok]
Chapter 16: Resource-Aware Optimization (code), 15 pages [final, last read done, code ok]
Chapter 17: Reasoning Techniques (code), 24 pages [final, last read done, code ok]
Chapter 18: Guardrails/Safety Patterns (code), 19 pages [final, last read done, code ok]
Chapter 19: Evaluation and Monitoring (code), 18 pages [final, last read done, code ok]
Chapter 20: Prioritization (code), 10 pages [final, last read done, code ok ]
Chapter 21: Exploration and Discovery (code), 13 pages [final, last read done, code ok], 330
Appendix (Total: 74 pages)
Appendix A: Advanced Prompting Techniques, 28 pages [final, last read done, code ok]
Appendix B - AI Agentic ….: From GUI to Real world environment, 6 pages [final, last read done, code ok]
Appendix C - Quick overview of Agentic Frameworks, 8 pages [final, last read done, code ok] ,
Appendix D - Building an Agent with AgentSpace (on-line only), 6 pages [final, last read done, code ok]
Appendix E - AI Agents on the CLI (online) , 5 pages [final, last read done, code ok]
Appendix F - Under the Hood: An Inside Look at the Agents’ Reasoning Engines, 14 pages [final, lrd, code ok],
Appendix G - Coding agents, 7 pages 406
Conclusion, 5 pages [final, last read done]
Glossary, 4 pages [final, last read done]
Index of Terms, 11 pages (Generated by Gemini. Reasoning step included as an agentic example) [final, lrd]
Online Contribution - Frequently Asked Questions: Agentic Design Patterns
Pre Print: https://www.amazon.com/Agentic-Design-Patterns-Hands-Intelligent/dp/3032014018/
This comprehensive guide by Antonio Gulli establishes the definitive framework for agentic AI development through 21 chapters and 7 appendices spanning 424 pages. The text systematically addresses core design patterns including prompt chaining, routing, parallelization, reflection, tool use, planning, and multi-agent systems. Advanced topics cover memory management, the Model Context Protocol (MCP), goal setting, exception handling, human-in-the-loop integration, and knowledge retrieval through RAG. The work extends into inter-agent communication (A2A), resource-aware optimization, reasoning techniques, guardrails, evaluation frameworks, prioritization mechanisms, and exploration strategies. Production-grade code examples accompany each pattern, enabling immediate implementation of intelligent systems. Appendices provide advanced prompting techniques, agentic framework comparisons, and reasoning engine analysis. This text serves as the authoritative resource for AI engineers, researchers, and strategists building autonomous, self-improving AI agents.
